Songs / F Major · 185 BPM
The People Who Grinned Themselves To Death by The Housemartins
The People Who Grinned Themselves To Death by The Housemartins is in the key of F Major and runs at 185 BPM (or 93 BPM if you count it half-time), a fast, high-energy tempo. Its Camelot code is 7B, which is what you match against when you are mixing it harmonically with another track.
What mixes with The People Who Grinned Themselves To Death
On the Camelot wheel, The People Who Grinned Themselves To Death sits at 7B. These keys blend with it without clashing, so tracks in them are safe to beatmatch in or out:
- 8Benergy boost
- 6Benergy drop
- 7Arelative minor
Mixes well with The People Who Grinned Themselves To Death
Real tracks from the database that are both harmonically compatible and close enough in tempo to beatmatch — ±6% on a pitch fader, or half/double time. Same key first, then the nearest energy step on the wheel.
- Travailler c'est trop dur (2010 Remastered Edition) — Alpha Blondy
- L'abandon — Alexandre Desplat
- Casal sem vergonha / SPC / Sem endereço / Já mandei botar dendê (Participação especial de Arlindo Cruz e Sombrinha) — Reinaldo
- Onde está / Volta de vez pra mim — Reinaldo
- Sem V.O.C.E — Jaloo
- Elisa's Theme — Alexandre Desplat
- I Am The Light Of This World (Album Version) — Reverend Gary Davis
Tracks to mix into it
Other analyzed songs in a compatible key, ready to line up next in a set:
More songs in F Major
- Travailler c'est trop dur (2010 Remastered Edition) — Alpha Blondy
- WE’RE ALL GONNA DIE — Nothing More
- My Heart Went Do Dat Da — Barbara Lewis
- Você Não Soube Me Amar — Blitz
- Você Não Soube Me Amar — Blitz
- Orfeo ed Euridice, Wq. 30 : Gluck: Orfeo ed Euridice, Wq. 30: Dance of the Blessed Spirits "Melody" (Arr. Sgambati for Piano) — Nelson Freire
All songs in F Major →All songs at 185 BPM →Camelot wheel →
These figures come from analyzing an official 30-second preview of the track with TuneBad’s in-browser engine. Tempo and key are reliable, but a preview is a sample of the full song, so treat them as a strong estimate. For an exact read, analyze the full file yourself — it is free and runs entirely in your browser.
